메뉴 건너뛰기




Volumn 2821, Issue , 2003, Pages 342-354

A k-winner-takes-all classifier for structured data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA RECORDING; HEURISTIC METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION; PROBLEM SOLVING; ARTIFICIAL INTELLIGENCE; COMPARATORS (OPTICAL); MEMBERSHIP FUNCTIONS; MODEL STRUCTURES; MOTION COMPENSATION; TEXT PROCESSING;

EID: 9444228166     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39451-8_25     Document Type: Conference Paper
Times cited : (11)

References (29)
  • 2
    • 3142669879 scopus 로고
    • Subgraph isomorphism, matching relational structures and maximal cliques
    • H. Barrow and R. Burstall. Subgraph isomorphism, matching relational structures and maximal cliques. Information Processing Letters, 4:83-84, 1976.
    • (1976) Information Processing Letters , vol.4 , pp. 83-84
    • Barrow, H.1    Burstall, R.2
  • 3
    • 0002590155 scopus 로고    scopus 로고
    • The maximum clique problem
    • D.-Z. Du and P.M. Pardalos, editors, Kluwer Academic Publishers, Boston, MA
    • I.M. Bomze, M. Budinich, P.M. Pardalos, and M. Pelillo. The maximum clique problem. In D.-Z. Du and P.M. Pardalos, editors, Handbook of Combinatorial Optimization, volume 4, pages 1-74. Kluwer Academic Publishers, Boston, MA, 1999.
    • (1999) Handbook of Combinatorial Optimization , vol.4 , pp. 1-74
    • Bomze, I.M.1    Budinich, M.2    Pardalos, P.M.3    Pelillo, M.4
  • 5
    • 84939326991 scopus 로고
    • An image understanding system using attributed symbolic representation and inexact graph-matching
    • M.A. Eshera and K.S Fu. An image understanding system using attributed symbolic representation and inexact graph-matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(5):604-618, 1986.
    • (1986) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.8 , Issue.5 , pp. 604-618
    • Eshera, M.A.1    Fu, K.S.2
  • 8
    • 3142703476 scopus 로고    scopus 로고
    • Adaptive self-organizing map in the graph domain
    • H. Bunke and A. Kandel, editors, World Scientific
    • S. Günter and H. Bunke. Adaptive self-organizing map in the graph domain. In H. Bunke and A. Kandel, editors, Hybrid Methods in Pattern Recognition, pages 61-74. World Scientific, 2002.
    • (2002) Hybrid Methods in Pattern Recognition , pp. 61-74
    • Günter, S.1    Bunke, H.2
  • 9
    • 0036191654 scopus 로고    scopus 로고
    • Self-organizing map for clustering in the graph domain
    • S. Günter and H. Bunke. Self-organizing map for clustering in the graph domain. Pattern Recognition Letters, 23:401-417, 2002.
    • (2002) Pattern Recognition Letters , vol.23 , pp. 401-417
    • Günter, S.1    Bunke, H.2
  • 10
    • 0021835689 scopus 로고
    • Neural computation of decisions in optimization problems
    • J.J. Hopfield and D.W. Tank. Neural computation of decisions in optimization problems. Biological Cybernetics, 52:141-152, 1985.
    • (1985) Biological Cybernetics , vol.52 , pp. 141-152
    • Hopfield, J.J.1    Tank, D.W.2
  • 11
    • 0029304809 scopus 로고
    • Approximating maximum clique with a Hopfield network
    • A. Jagota. Approximating maximum clique with a Hopfield network. IEEE Trans. Neural Networks, 6:724-735, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 724-735
    • Jagota, A.1
  • 14
    • 0028426382 scopus 로고
    • Qualitative analysis of the parallel and asynchronous modes of the hamming network
    • K. Koutroumbas and N. Kalouptsidis. Qualitative analysis of the parallel and asynchronous modes of the hamming network. IEEE Transactions on Neural Networks, 15(3):380-391, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.15 , Issue.3 , pp. 380-391
    • Koutroumbas, K.1    Kalouptsidis, N.2
  • 16
    • 51249191195 scopus 로고
    • A note on the derivation of maximal common subgraphs of two directed or undirected graphs
    • G. Levi. A note on the derivation of maximal common subgraphs of two directed or undirected graphs. Calcolo, 9:341-352, 1972.
    • (1972) Calcolo , vol.9 , pp. 341-352
    • Levi, G.1
  • 17
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • April
    • R.P. Lippman. An introduction to computing with neural nets. IEEE ASSP Magazine, pages 4-22, April 1987.
    • (1987) IEEE ASSP Magazine , pp. 4-22
    • Lippman, R.P.1
  • 21
    • 0000347693 scopus 로고    scopus 로고
    • A novel optimizing network architecture with applications
    • A. Rangarajan, S. Gold, and E. Mjolsness. A novel optimizing network architecture with applications. Neural Computation, 8(5): 1041-1060, 1996.
    • (1996) Neural Computation , vol.8 , Issue.5 , pp. 1041-1060
    • Rangarajan, A.1    Gold, S.2    Mjolsness, E.3
  • 22
    • 0036522746 scopus 로고    scopus 로고
    • Heuristics for similarity searching of chemical graphs using a maximum common edge subgraph algorithm
    • J.W. Raymond, E. J. Gardiner, and P. Willett. Heuristics for similarity searching of chemical graphs using a maximum common edge subgraph algorithm. Journal of Chemical Information and Computer Sciences, 42(2):305-316, 2002.
    • (2002) Journal of Chemical Information and Computer Sciences , vol.42 , Issue.2 , pp. 305-316
    • Raymond, J.W.1    Gardiner, E.J.2    Willett, P.3
  • 23
    • 0344240183 scopus 로고    scopus 로고
    • Comparing structures using a Hopfield-style neural network
    • K. Schädler and F. Wysotzki. Comparing structures using a Hopfield-style neural network. Applied Intelligence, 11:15-30, 1999.
    • (1999) Applied Intelligence , vol.11 , pp. 15-30
    • Schädler, K.1    Wysotzki, F.2
  • 26
    • 0031145983 scopus 로고    scopus 로고
    • Supervised neural networks for the classification of structures
    • A. Sperduti and A. Starita. Supervised neural networks for the classification of structures. IEEE Transactions on Neural Networks, 8(3):714-735, 1997.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 714-735
    • Sperduti, A.1    Starita, A.2
  • 27
    • 0029344678 scopus 로고
    • Pattern recognition by graph matching using potts mft networks
    • P. Suganthan, E. Teoh, and D. Mital. Pattern recognition by graph matching using potts mft networks. Pattern Recognition, 28:997-1009, 1995.
    • (1995) Pattern Recognition , vol.28 , pp. 997-1009
    • Suganthan, P.1    Teoh, E.2    Mital, D.3
  • 28
    • 0021491949 scopus 로고
    • Entropy and distance of random graphs with application to structural pattern recognition
    • A. Wong and M. You. Entropy and distance of random graphs with application to structural pattern recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(5):599-609, 1985.
    • (1985) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.7 , Issue.5 , pp. 599-609
    • Wong, A.1    You, M.2
  • 29
    • 0026817798 scopus 로고
    • Relaxation by the hopfield neural network
    • S.-S. Yu and W.-H. Tsai. Relaxation by the hopfield neural network. Pattern Recognition, 25(2): 197-209, 1992.
    • (1992) Pattern Recognition , vol.25 , Issue.2 , pp. 197-209
    • Yu, S.-S.1    Tsai, W.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.